Geographic and financial data based on postal code (LSNa095)
The data in this file come from public and commercial databases. The variables axcoord to asocsec are from the "Quarter and Neighborhood Register 1993" (Wijk- en buurtregister 1993, WBRJ93) composed by the Netherlands Central Bureau of Statistics. The data for this register have been taken from address registers, topographical maps and from the Regional Income Statistics (NCBS, 1989). For each neighborhood, the postal code (with four digits, without the alphanumeric extension) served as the variable to match the data with the respondents of the LSN-study. If there were more postal codes in a neighborhood, the postal code with the largest number of addresses was taken. If there were more neighborhoods with the same postal code, the neighborhood with (in sequence) the greatest coverage and the largest population was chosen, giving the best chance that a LSN-respondent lives in that particular neighborhood. If none of the neighborhoods was characterized by one of the postal codes, the match was made on the first three digits of the postal code.
axcoord x coordinate neighborhood
aycoord y coordinate neighborhood
The X and Y coordinates are based on a triangle measurement and are in units of 100 meter. The range for the X coordinate is from 137 (Sluis) to 2764 (Vlagtwedde), and for Y from 3090 (Wittem) to 6107 (Schiermonnikoog). For each neighborhood the centre is given.
adistan distance to center of municipality (in kilometers)
adensity # inhabitants per square kilometer
aadrden # addresses per square kilometer
aurban level of urbanization
The mean number of addresses per squared kilometer within a circle with a radius of one kilometer (Den Dulk, Van de Stadt & Vliegen, 1992). The aim is to measure the concentration of human activities.
For the next variables, aage1524 through asocsec, the NCBS-data were not available for all neighborhoods; missing data were found in particular for neighborhoods with a very small population. Therefore, we followed a procedure to minimize the number of missing data. If there were more neighborhoods with the same postal code, the average of the (valid) values was assigned to the postal code. Second, if still data were missing, the data of the quarter (a collection of neighborhoods) were taken. Third, if still data were missing, the data of the municipality were taken. The remaining respondents with missing values are all living in areas with a very low density.
aage1524 % neighborhood age 15 through 24 (denominator 15+ population)
aage2544 % neighborhood age 25 through 44 (denominator 15+ population)
aage4564 % neighborhood age 45 through 64 (denominator 15+ population)
aage65 % neighborhood age 65 and over
aincmean mean income in neighborhood (* € 1000)
The mean disposable income of individuals with income in all 52 weeks of a year.
ainclow % neighborhood with disposable income <19000 NLG
40% of the individuals with an income < NLG 19,000 (about € 8600).
ainchigh % neighborhood with disposable income >32600 NLG
20% of the individuals with an income >NLG 32,600 (about € 15000).
asocsec % of people (15-64 year old) in neighborhood on social security payments
Social security payments include payments to unemployed and disabled people and payments to people with an income of their own lower than about NLG 1,100 (Welfare, social minimum; "Bijstand"; about € 500).
The next variables, afinstat to aincompc, provide information on the financial status of the respondents. The information was made available by Geo-Marktprofiel BV, Weesp. The information is based on several households with the same postal code (with four digits and the alphanumeric extension, format NNNN AA) and is therefore not to be equated with the financial status of the respondent. In the file LSNa267 the variable aincome provides a direct measure of the respondent's income position.
afinstat financial status based on postal code
This variable is based on the variables aowner, arentpr, apurchpr and aincompc.
Suggested by Geo-Marktprofiel: recode afinstat (-1=4).
Notes: There are variations between the households with the same postal code.
NLG 43,000 (about € 20 000) is the modal income of the Dutch population, not the modal income of older people in the Netherlands.
aowner ownership house based on postal code
aincompc income based on postal code
den Dulk, C.J., van de Stadt, H., & Vliegen, J.M. (1992). Een nieuwe maatstaf voor stedelijkheid: De omgevingsadressendichtheid [A new measure for degree of urbanisation: The address density of the surrounding area]. Maandstatistiek van de Bevolking, 40, 14-27.